Summary results of Model 3: Condition index (mg/cm³), D₀ = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant. by Jacob J. Capelle (17240528)

“…<p>Summary results of Model 3: Condition index (mg/cm³), D₀ = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant.…”

Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)). by Mobina Faqani (22783963)

“…<p>Summary of the effect of MPDD on SDLP across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease)).…”

Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease). by Mobina Faqani (22783963)

“…<p>Summary of the effect of MPDD on ART and TIBL across all participants, and also participants categorized by driving styles (“NS” (no significant), “+” (significant increase), and “-” (significant decrease).…”

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

Prediction of the effect of the 9 nsSNPs on AKT2 proteins’ structure and function by eight computational tools. by Sadia Afrin Runa (22504971)

Subjects:

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

Significant interaction (time by group) for PPTd. by Einat Kodesh (13132997)

Additional file of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

“…Additional file of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction…”

Distribution of the frequency increase of connectives at the constructional level according to their statistical significance. by Francisco J. Rodríguez-Muñoz (7573025)

Significant country x gender interaction effects. by Sarah Nila (3384434)

Significant interactions between segment immersions and condition. by Jakub Nastaj (7235435)

Supplementary spreadsheet with analysis of significant CxT interactions. by Graham L. Cromar (13124463)

Additional file 4 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 9 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 8 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 3 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 5 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 2 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)

Additional file 6 of Combining modularity, conservation, and interactions of proteins significantly increases precision and coverage of protein function prediction by Samira Jaeger (74247)